Antonio Arauzo-Azofra: h-index, Total Citations, and Citation Map
Antonio Arauzo-Azofra's h-index is 16 (22 i10-index, 1,290+ total citations across 74+ publications) according to Google Scholar as of June 2026. Antonio Arauzo-Azofra is affiliated with Universidad de Córdoba.
Antonio Arauzo-Azofra is a researcher affiliated with Universidad de Córdoba, specializing in Feature selection, Intelligent systems. Their work has been cited 1,290 times. This profile visualizes their global influence, highlighting strong citation networks in Italy.
Antonio Arauzo-Azofra's Citation Metrics
Bibliometric impact based on 74 indexed publications.
- H-Index
- 16
- i10-Index
- 22
- Total Citations
- 1,290
- Citing Countries
- 9
As of June 2026.
Antonio Arauzo-Azofra has an h-index of 16 and 1,290 total citations across 74 publications, with research cited by institutions in 9 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Antonio Arauzo-Azofra's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 1,290 citations for Antonio Arauzo-Azofra
We've shown the most-cited 5,000. Unlock the full crawl (834 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Artificial neural network-based equation for estimating VO2max from the 20m shuttle run test in adolescents
2008187
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Antonio Arauzo-Azofra's research
Antonio Arauzo-Azofra is a researcher in Feature selection and Intelligent systems at Universidad de Córdoba. Their work has been cited 1,290 times across 74 publications (h-index 16), according to Google Scholar.
Their most-cited work, “Artificial neural network-based equation for estimating VO2max from the 20m shuttle run test in adolescents” (2008), has accumulated 187 citations. Other influential works include “Empirical study of feature selection methods based on individual feature evaluation for classification problems” (2011) with 144 citations and “Consistency measures for feature selection” (2008) with 130 citations.
Citations of Antonio Arauzo-Azofra's research come primarily from Italy, Brazil and Spain, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
